Data Scientist

Summary

Join our client, an innovative AI-focused company, as a Data Scientist to contribute to advanced analytics and machine learning initiatives. This fully remote position (9 AM - 5 PM PST) centers on data cleaning, preparation, and building predictive models using classic machine learning techniques. You will utilize Python, various libraries, and SQL for data manipulation and model building. Success involves creating clean datasets, high-performance models, and efficient data transformation. The role requires strong collaboration and experience with API integration, code versioning, and deployment. Apply if you're passionate about data science and thrive in a collaborative environment.

Requirements

• 3-5 years of experience as a Data Scientist or in a similar role
• Proficiency in Python and libraries such as NumPy, Pandas, Scikit-Learn, Matplotlib/Plotly, and SHAP
• Strong understanding of predictive analytics and classic machine learning techniques
• Advanced SQL knowledge, including concepts like Join and Group By
• Experience with Jupyter Notebook, Google Colab, or equivalent code editors
• Ability to work with REST APIs and manipulate data programmatically
• Familiarity with Git and GitHub for code versioning
• Experience with Docker for deploying code
• Highly detail-oriented and skilled in data preparation and cleaning
• Proactive and solution-driven with the ability to handle complex datasets
• Strong communicator, capable of documenting and explaining processes clearly

Responsibilities

• Clean, structure, and prepare tabular data for analysis, including removing rows with empty values, performing feature engineering, and creating new features
• Build and optimize predictive models using classic machine learning techniques
• Use Python and libraries like NumPy, Pandas, Scikit-Learn, Matplotlib/Plotly, and SHAP for data analysis and visualization
• Read API documentation and programmatically retrieve data using REST APIs (e.g., Python requests library)
• Utilize advanced SQL concepts (e.g., Join, Group By) for data manipulation and transformation
• Manage code versioning using Git and GitHub
• Work with Docker for code deployment and scalability
• Utilize Jupyter Notebook, Google Colab, or equivalent for coding and data exploration

Preferred Qualifications

Prior experience in AI and machine learning

Benefits

Fully-Remote (Work from Home), 9 AM - 5 PM PST